Re: WEKA Processing Requirements

> I just had a few questions about the ideal hardware requirements for running WEKA. We use it quite often for processing large numbers of samples, 1000+ samples with ~400 variables. We are looking into building a custom PC to run WEKA as efficiently as possible.
>
> Are there any hardware requirements we should be mindful of? Such as, would WEKA benefit from a powerful GPU? Any advice would be fantastic.

It depends very much on your algorithms:
- using locally weighted models? -> plenty of RAM
- using kernel-based models? -> plenty of RAM
- large ensembles? -> plenty of RAM
- does the algorithm support multi-threading? -> add plenty of cores
- some algorithms can take advantage of a GPU as well:
  https://waikato.github.io/weka-wiki/speeding_up_weka/#gpu-acceleration

If you are planning on adding more models, be generous in number of
cores/RAM beforehand. :-)

You can monitor your algorithm's memory consumption from the GUIChooser with:
Program -> Memory usage

A percentage is being displayed as tool tip when hovering over the
graph. You can turn that percentage into a rough estimate via the
"memory.max" property in the "SystemInfo" dialog (from the Help menu
in the GUIChooser).

Cheers, Peter
-- 
Peter Reutemann
Dept. of Computer Science
University of Waikato, Hamilton, NZ
Mobile +64 22 190 2375
https://www.cs.waikato.ac.nz/~fracpete/
http://www.data-mining.co.nz/
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